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Remote Sensing for Natural Resources    2022, Vol. 34 Issue (2) : 63-71     DOI: 10.6046/zrzyyg.2021207
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Method to calibrate the coordinates of transmission towers based on satellite images
MA Yutang1(), PAN Hao1, ZHOU Fangrong1, HUANG Ran1, ZHAO Jianeng1, LUO Jiqiang2, LIU Jing2,3, SUN Haoxuan4(), JIA Weijie5, ZHANG Tao6
1. Joint Laboratory of Power Remote Sensing Technology, Electric Power Research Institute, Yunnan Power Grid Company Ltd., Kunming 650217, China
2. China Academy of Space Technology Institute of Spacecraft System Engineering, Beijing 100094, China
3. School of Computer Science & Engineering, South China University of Technology, Guangzhou 510006, China
4. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
5. China Aero Geophysical Survey and Remote Sensing Center for Natural Resource, Beijing 100083, China
6. Equipment Procurement Service Center of China’s Central Military Commission (CMC) Equipment Development Department (EDD), Beijing 100009, China
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Abstract  

In order to realize the refined line inspection management of transmission lines, improve its operation and maintenance efficiency, realize satellite intelligent inspection, and accurately find the defects and hidden dangers of towers and transmission lines, the paper took the coordinates of transmission line towers in Kunming City, Yunnan Province as an example and proposed a method to calibrate the coordinates of transmission towers using satellite images. The method first uses the reference base-map data as the basis to match the control points and uses the digital elevation model (DEM) to perform geometric correction on the original remote sensing image. Then combined with such technologies as shadow detection and edge detection and visual interpretation, the calibrated tower coordinates are obtained. The experiment verified the geometric correction accuracy of the SuperView-1 (SV1) and Gaofen-2(GF2) satellite images in the Kunming area, and the errors in the plane after correction were 0.931 and 1.387 m, respectively. In addition, the experiment verified the calibration accuracy of the old tower coordinates on the two lines. The results show that the plane accuracy of the tower has increased from 13.811 m and 8.256 m to 5.970 m and 5.104 m, respectively, which meets the basic power grid requirements. This method can realize the calibration of the tower coordinates, reduce the workload of manual inspection, and improve the efficiency of line inspection. With the explosive growth of remote sensing image data, multi-source images from the space and ground will continue to be combined, and the technology for the positioning of transmission towers based on satellite remote sensing images will have a broader development prospect.
Keywords transmission tower      geometric correction      calibration ofcoordinates      DEM      remote sensing     
ZTFLH:  TP79  
Corresponding Authors: SUN Haoxuan     E-mail: 1277396850@qq.com;endu@foxmail.com
Issue Date: 20 June 2022
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Yutang MA
Hao PAN
Fangrong ZHOU
Ran HUANG
Jianeng ZHAO
Jiqiang LUO
Jing LIU
Haoxuan SUN
Weijie JIA
Tao ZHANG
Cite this article:   
Yutang MA,Hao PAN,Fangrong ZHOU, et al. Method to calibrate the coordinates of transmission towers based on satellite images[J]. Remote Sensing for Natural Resources, 2022, 34(2): 63-71.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021207     OR     https://www.gtzyyg.com/EN/Y2022/V34/I2/63
Fig.1  Flowchart of geometric correction based on the reference image
序
号		 SV-1 GF-2
影像类型 分辨
率/m		 获取日期 影像类型 分辨
率/m		 获取日期
1 SV1-02多光谱 2 2018.11.14 GF-2多光谱 4 2019.01.23
2 SV1-02全色 0.5 2018.11.14 GF-2全色 1 2019.01.23
3 SV1-03多光谱 2 2018.01.16 GF-2多光谱 4 2019.10.31
4 SV1-03全色 0.5 2018.01.16 GF-2全色 1 2019.10.31
Tab.1  Experimental data
Fig.2  Location relationship between image data and base images
Fig.3  Details of the location relationship between the base images and test images
影像名 匹配
点/
个		 控制
点/
个		 检查点像方
精度/像元		 检查点物方精度/m
x y 平面 x y 平面
SV-1-03-
20180116		 58 10 1.196 1.179 1.679 0.660 0.626 0.910
SV-1-02-
20181114		 58 10 1.205 1.230 1.722 0.615 0.725 0.951
GF2-
20190123		 50 10 1.011 1.115 1.505 0.885 0.819 1.206
GF2-
20191031		 110 10 1.550 1.237 1.983 1.208 0.998 1.567
Tab.2  Calibration accuracy table of reference image for test image
Fig.4-1  Details of edge connection relationship between underlay and corrected test images
Fig.4-2  Details of edge connection relationship between underlay and corrected test images
Fig.5  Schematic diagram of manual visual interpretation assisted by tower identification
类型 区域1 区域2
x误差 y误差 平面中
误差		 x误差 y误差 平面中
误差
旧杆塔台账偏差 5.010 5.744 13.811 6.157 3.502 8.256
校准后杆塔坐标偏差 3.328 2.725 5.970 3.795 3.414 5.104
Tab.3  Calibration accuracy table of towers(m)
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